Sigma Computing Jobs in Usa

Position Summary:

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team.

The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list).

To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers

This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data.

Key Responsibilities:

HPC Cybersecurity & System Administration:

• Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.).
• Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing.
• Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency.
• Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members.
• Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research.
• Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc.
• Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently.
• Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment.
• Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources.
• Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai.
• Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date.
• Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai.
• Provide after-hours support as needed.
• Perform other duties as assigned or requested.

Requirements:

• Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred.
• 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment.
• Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc.
• Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare).
• In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system
• Experience with secure enclaves and confidential computing.
• Proven ability to provide mentorship and technical leadership to team members.
• Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance.
• Excellent analytical ability and troubleshooting skills.
• Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused.
• Scripting and programming experience.

Preferred Experience

• Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures.
• Experience with Azure, AWS or Google cloud services.
• Experience with LSF job scheduler and GPFS Spectrum Scale.
• Experience in a healthcare environment.
• Experience in a research environment is highly preferred.
• Experience with software that enables privacy-preserving linking of PHI.
• Experience with Globus data transfer.
• Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Roles & Responsibilities:

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, the research clinical data warehouse team and a research data services team.

The Senior HPC Administrator, High Performance Computational and Data Ecosystem, is responsible for a computational and data science ecosystem for researchers at Mount Sinai. This ecosystem includes high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. To meet Sinai’s scientific and clinical goals, the Senior Administrator has a good technical understanding for computational, data and software development systems along with a strong focus on customer service for researchers. The HPC Senior Administrator is an expert troubleshooter and productive team member and leads projects to effective and efficient completion independently under little to no supervision. This position reports to the Director for Computational & Data Ecosystem in Scientific Computing. Specific responsibilities are listed below.

Responsibilities

• Design, deploy and maintain Scientific Computing’s computational and data science ecosystem including ~30,000 cores with high bandwidth, low latency interconnects, GPUs, large shared memory nodes, databases, scientific workflows and 30+ petabytes of storage in production, clinical data warehouse and software development environment.
• Lead the troubleshooting, isolation and resolution of all technical issues including application, system, hardware, software, and network). Actively monitors the systems.
• Maintains, tunes and manages computational, data, cloud technologies and workflow systems for ISMMS researchers, scientists and their external collaborators. Defines and deploys a comprehensive computational and data vision. Identifies and communicates system advantages/disadvantages and tradeoffs.
• Designs, develops, implements system administration tasks, including hardware and software configuration, configuration management, system monitoring (including the development and maintenance of regression tests), usage reporting, system performance (file systems, scheduler, interconnect, high availability, etc.), security, networking and metrics, etc.
• Collaborates effectively with research and hospital system IT, compliance, HIPAA, security and other departments to ensure compliance with all regulations and Sinai policies.
• Participates in the integration of HPC resources with laboratory equipment such as sequencers, clinical and research data resources and systems, etc. Incorporate and link data and compute resources.
• Researches, deploys and optimizes resource management and scheduling software and policies and actively monitoring. Designs, tunes, manages and upgrades parallel file systems, storage and data-oriented resources.
• Researches, deploys and manages security infrastructure, including development of policies and procedures.
• Maintain all necessary aspects of HPC in accordance with best practices. Develops and implements backup policies.
• Prepares and manages budgets for hardware, software and maintenance. Participates in chargeback/fee recovery analysis and provides suggestions to make operations sustainable.
• Assists in developing and writing system design for research proposals. Creates and provides clear documentation.
• Works effectively and productively with other team members within the group and across Mount Sinai.
• Performs related duties as assigned or requested.
• Provides after hours support for critical system and production issues.
• Answers and resolves user tickets.

Qualifications:

• Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred
• 8+ years (higher preferred) of progressive HPC system administration and operations (preferably in a Redhat/CentOS Linux administration, Batch HPC cluster environment)
• Must be an expert troubleshooter; Must be a team player and customer focused
• Experience with job scheduler such as LSF or Slurm and parallel file systems and storage
• Experience with networking and security
• Experience with configuration management systems such as xCAT, Puppet and/or Ansible
• Experience of databases and web services
• Experience in Infiniband, Gigabit Ethernet
• Experience in an academic or research community environment
• Script and programming experience
• Experience with Cloud Computing
• Ability to multitask effectively in a dynamic environment
• Excellent communication skills, analytical ability, strong judgment and management skills, and the ability to work effectively as a liaison between both research and technology teams.
• Strong written, oral, and interpersonal communication skills

Preferred Experience

• Advanced degree
• Experience with GPFS, LSF, TSM, IB and ethernet networking
• Experience with databases and web services is highly preferred

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

• Preferred three to five (3 to 5) years of experience in implementing and managing Windows and Open Systems server infrastructure hybrid cloud solutions in an enterprise environment; healthcare experience preferred.
• Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization .
• Strong technical knowledge of VMWare ESX and Microsoft Hyper-V.
• Expertise in Microsoft Windows, Linux and AIX operating systems and management.
• Familiar with hyperconverged infrastructures such as VxRail.
• Familiar with Microsoft Azure Arc, System Center, Admin Center and SCCM.
• Familiar with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience in infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes).
• Experience in scripting (PowerShell, Python, Bash, etc.)
• Familiar with application delivery solutions such as Citrix.
• Experience with storage and data protection replication methodologies.
• Experience with Epic Infrastructure such as Hyperspace.
• Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
• Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
• Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
• Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
• Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
• Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
• Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
  
  

• Preferred certifications include Microsoft Certified: Azure Fundamentals, VCP-DCV, ECSA.
  
  

• Responsible for installation and maintenance of server infrastructure along with upgrading/configuration and the life cycle management of hardware.
• Monitors functions of server infrastructure to ensure acceptable performance.
• Creates and maintains documentation related to server configuration and environments.
• Serves as subject matter expert across server operating systems and solutions (Microsoft Windows Server, Linux, AIX, VMWare ESX, Microsoft Hyper-V)
• Troubleshoots and resolves server and virtualization incidents.
• Maintain server patching to address security vulnerabilities.
• Collaborate with cloud compute architect to design and build functional server environments.
• Provide level 2 escalation support and troubleshooting to resolve complex server incidents and tasks.
• Stay current on cloud and systems engineering trends (e.g., serverless computing, containerization, AI-driven automation) and evaluate their potential to enhance TGC operations.
• Ensure systems, applications and data are high availability, backed up and/or replicated to meet disaster and business recovery requirements.
• Implement and enforce security requirements to protect Azure-based systems and data.
• Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
• Monitors industry trends, maintains knowledge of developments in cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery.
• Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
• Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
• Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
• Performs related duties as assigned and unrelated duties as requested.
  
  

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The College of Computing was established in 1990 as the first such College at a public university and the second in the United States. Since that time, the college has grown into a world-class leader in research and education. The graduate CS program is currently ranked 6th and the undergraduate 5th nationally by U.S. News and World Report. The College consists of five Schools that provide specialized and general computing education to the entire campus. With over 16-degree programs, including its world-renowned online MS in CS, we believe the College to be the largest Computing unit in the United States and, as such, one of the largest producers of computationalist at all levels and of all demographic backgrounds. The College is a part of the Georgia Institute of Technology, a unit of the University System of Georgia and is primarily located in the heart of Atlanta, Georgia.

Provide support services in the operation and maintenance of an academic or research laboratory to include performing analyses; setup, operation, maintenance and cleaning of equipment; and maintaining stock of supplies. Specific duties will be determined based on assignment and unit needs. This position will interact on a consistent basis with: academic and/or research faculty members, staff and students This position typically will advise and counsel: lab users This position will supervise: NA

Job Duty 1 -
Setup, operate and maintain instruments and other equipment used in performing lab tests and experiments.

Job Duty 2 -
Order supplies and materials as required; maintain records.

Job Duty 3 -
Setup laboratory media/equipment for demonstrations.

Job Duty 4 -
May clean instruments, glassware and other lab equipment.

Job Duty 5 -
Prepare and process laboratory samples for use in assigned tests.

Job Duty 6 -
Perform other duties as assigned

Additional Responsibilities

• Architect and deploy the projects interactive software, with robust stability for public use.

Educational Requirements
High school diploma, GED Certificate or Vocational School Diploma

Required Experience
Up to two years of job related experience

• Bachelors or Masters degree in Computer Science or a related technical field.
• Minimum 1 year experience conducting HCI projects to ensure public-facing usability.
• At least 2 years of professional Python coding experience for stable, production-ready architecture in computer vision.
• Unique expertise in hardware-software integration (Python) and translating complex research into intuitive, accessible, and high-performance digital experiences.

Pay Information:

Hourly Range: $0.00 - $30.00

FLSA Status: Non-Exempt

Schedule

5-10 hours per week

SKILLS
This job requires working knowledge in the use of instrumentation and other lab equipment, laboratory processes and procedures specific to assigned lab. Skills in inventory management and the use of specialized computer applications is required.

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Open date: March 10, 2026

Next review date: Tuesday, Mar 24, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Apr 9, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Berkeley Summer Sessions & Study Abroad is a vibrant and dynamic organization that collaborates across faculty, academic units, international partners and campus service providers to enable more than 15,000 current and prospective Berkeley students, visiting students, and high school students to participate in more than 600 summer courses, study abroad experiences, global internships, and other learning opportunities. We are committed to offering quality, innovative learning experiences through open enrollment to a diverse audience of world-wide learners, while supporting the campus missions and commitments to its stakeholders.

Berkeley Summer Sessions & Study Abroad is a part of the division under the leadership of the Dean of Extended Education that also includes University Extension and Osher Lifelong Learning Institute.

Summer Sessions, in partnership with UC Berkeley's Electrical Engineering and Computer Science department (EECS), invites applications for a pool of qualified, dynamic instructors with a commitment to Pre-College education in Computer Science, Programming, and Data Science to teach high school students (grades 10-12) in our Berkeley Summer Computer Science Academy. This intensive, non-credit program is offered in-person over 2 weeks during weekdays (June 22, 2026 - July 3, 2026) on the UC Berkeley campus with some online instructional components, such as an Instructor Orientation and a student pre-arrival Welcome Webinar.

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

We are seeking qualified applicants who possess current subject matter expertise and teaching proficiency in the SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Classroom (In-Person).

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• For synchronous instruction (classroom), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; reviewing and providing feedback on student work; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines; and responding to other requests from the Program Director or Department Director in a timely manner.
  

Berkeley Summer Computer Science Academy: summer-computer-science-academy

UC Berkeley's SNAP! Programming Language:

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• Bachelor's degree or equivalent international degree (or enrollment in a bachelor's degree or equivalent international degree program) required.
  

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• Bachelor's Degree or equivalent international degree required by the start date of the position.
  
• Minimum of one year of experience in related content area.
  
• Availability to teach in-person on the UC Berkeley campus weekdays between June 22, 2026 and July 3, 2026.
  

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• Advanced degree (or enrollment in an advanced degree) in course subjects.
  
• Subject matter expertise in SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.
  
• 1 or more years of teaching experience in the course subject at a United States K-12, college, or university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Ability to convey conceptual and complex ideas and information.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Camtasia/Panopto); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  
• Familiarity with Title IX, CANRA, CLERY, Family Educational Rights and Privacy Act (FERPA) and related federal and state laws, health & safety regulations, policies and procedures, and risk management guidelines and best practices related to working with minors or demonstrated ability to learn such laws.
  

• Curriculum Vitae/Resume - Your most recently updated C.V. or Resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

**DO NOT APPLY FOR THIS POSITION THROUGH LINKED IN. ONLY APPLICATIONS SUBMITTED THROUGH ADP LINK BELOW WILL BE CONSIDERED**

Maria University invites applications for an Assistant or Associate Professor of Computer Science to start July 1, 2026. The primary duties of this position include regular instruction of a wide range of undergraduate computer science courses, advising and mentoring undergraduate students, pursuing an active research program that includes scholarly publications, and engaging in service to the University. We encourage applicants from all areas of computer science to apply. The standard teaching load is twelve credits per semester (typically three four-credit courses).

Minimum Qualifications include

• a Ph.D. in Computer Science or a closely related field (e.g., Computer Engineering), conferred by July 1, 2026;
• an active research program;
• teaching experience with a commitment to excellence in undergraduate education and the Catholic liberal arts tradition; and
• a dedication to the University’s mission as expressed in Ex Corde Ecclesiae.

Preferred Qualifications include

• Demonstrated excellence in teaching, which may include employing active and experiential learning strategies
• Experience effectively advising and mentoring undergraduate students, especially on capstone projects
• Scholarly, peer-reviewed publications related to the candidate's area of research expertise and a commitment to strengthening and expanding the department's research
• Experience in working collaboratively with various constituents, including colleagues, industry professionals, and community members

How to Apply

A complete application consists of:

• One-page cover letter that addresses all minimum and any applicable preferred qualifications met
• Curriculum Vitae
• Statement addressing research plans (a maximum of three pages)
• Statement of the applicant's teaching philosophy, including how it relates to the University's Catholic mission as expressed in Ex Corde Ecclesiae

 ( )

(a minimum of two pages, but no more than three pages)

Only when requested by the search committee, candidates should arrange for three confidential letters of recommendation to be submitted in support of their application.

Review of applications will begin on November 1, 2025 and continue until the position is filled.

Only complete applications will be considered. Official transcripts are required for faculty appointment and will be requested upon selection of the final candidate.

Questions should be directed to Dr. Saverio Perugini, Computer Science Program Director and Search Committee Chair, at 

The Computer Science program is offered through the Department of Computational and Mathematical Sciences.



• Ave Maria University is a Catholic, liberal arts institution of higher learning. The University is an Equal Opportunity Employer and provides an excellent benefit package to full-time faculty.

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: September 21, 2025

Most recent review date: Monday, Oct 6, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Sunday, Sep 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Interdisciplinary Social Sciences Program (ISSP) is the administrative unit that oversees the interdisciplinary majors, minors and graduate programs within the Social Sciences Division of the College of Letters and Sciences at UC Berkeley.

Housed in ISSP, the Master of Computational Social Science (MaCSS) is a new one-year professional master's program that will provide students with practical skills for analyzing, interpreting, and visualizing social data. Social data are data about people, groups, organizations, and their interactions from surveys and censuses, company websites, store loyalty cards, cell-phone records, social media posts, internet searches, etc. MaCSS graduates will be able to work as analysts and data specialists in business, non-profit, and government settings.

DUTIES OF THE POSITION: Teaching one or more of the following courses:

* Introduction to Computing;

* Introduction to Applied Statistics;

* Advanced Computing;

* Applied Statistics;

* Ethics, Data, & Society;

* Special topics in Computational Social Science;

* Career Development;

* Capstone Project

In addition to teaching responsibilities, general duties may include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), writing exams, interacting with students outside of class time via email and/or a course web site, and managing teaching assistants.

Unit:

A Bachelor's Degree or equivalent international degree is required at time of application.

-Prior teaching and/or work experience in computational social science, data science, computing, data analytics, or human resources

-Industry knowledge of data analytics and trends

-Leadership, management, and entrepreneurial skills

-Existing authorization to work in the U.S.

• Resume or Curriculum Vitae - Your most recently updated resume or C.V.

  
  

• Cover Letter

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment